vinayakumarr/CDMC2016

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Python
Created almost 7 years ago
Updated almost 6 years ago

vinayakumarr/CDMC2016

vinayakumarr

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Cybersecurity Data Mining Competition 2016

Network-Intrusion-Detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

Signal-Processing-and-Pattern-Classification

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

Jupyter Notebook

Android-Malware-Detection

Android malware detection using static and dynamic analysis

Network-Traffic-Analysis

SSH traffic analysis

DMD2018

Detection of malicious domain names using machine learning and deep learning models

Kalasalingam

IEEE "Invited Talk on Deep Learning" 03/02/2018

Jupyter Notebook

CNN-RNN

Image classification using CNN

Jupyter Notebook

ICMR

ICMR Sponsored Seminar On Deep Learning Techniques and Tools for Medical Applications

Jupyter Notebook

Deep-learning-for-Programmers

Learn to code deep learning algorithms

Jupyter Notebook

CDMC2017

Cybersecurity Data Mining Competition 2017

DEFT-2017

Sentiment Analysis and Figurative Language in French Tweets

Malicious-URL-Detection

Malicious URL Detection using classical machine learning and deep learning

Deep-Learning-Basics

Jupyter Notebook

extreme-learning-machine-for-security

WASSA-2017

Determining Emotion Intensity

Domain-generation-algorithms

Domain Generation Algorithms (DGAs) using traitional machine learning and deep learning

maching-learning-CDAC-Technopark

Maching learning workshop at CDAC, Technopark, Thiruvananthapuram

Jupyter Notebook

SMM4H

Social Media Mining for Health Applications Workshop & Shared Task at AMIA 2017

IoT-Botnet

Application of machine learning and deep learning for IoT security

Blockchain-2017

text-classification-using-tflearn

text classification using deep learning

Cybersecurity-Lab-at-CEN

Classification-Of-Spanish-Election-Tweets-COSET-

TEQUIP-FDP-TKM-2017

Jupyter Notebook

AISec-2017

Conference-PPT

AmritaDGA

DeepSci-2017

DeepChem-2017

Financial-Data-Analytics

Power-Quality-Disturbances-Classification

TEQIP-II---PSG

AIC-2018

Application of machine learning for cyber security

Jupyter Notebook

Ibereval-2017

Stance and Gender Detection in Tweets on Catalan Independence

DLC-2018

Application of deep learning for cyber security

Jupyter Notebook

IWSPA-AP-2018

Phishing email detection

homoglyph-Siamese

Siamese neural network architecture for homoglyph attacks detection

Intrusion-detection

Intrusion Detection

shell-programming

Jupyter Notebook

Deep-Net

AI-Data-Science-summer-course

Machine learning tutorials for beginners

Jupyter Notebook

dnn-ember

Static PE malware detection

Segregation-of-Plastic

The aim of this work is to develop an engine which uses modern artificial intelligence approach, deep learning and computer vision to automatically classify the waste into plastic or non-plastic.

DeepImageMalDetect-DIMD